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Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for continuous quality scoring and AWS DevOps Agent for autonomous infrastructure investigation, shown on a four-agent airline reservation …
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Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking harness that measures cost per correct answer, agent trajectory cost, and rubric-graded deliverable quality across OpenAI models on Amazon Bedrock. Link to article: …
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Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension. Link to article: …
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Compare the Pipeline Pattern vs System.IO.Pipelines in .NET, including PipeReader, PipeWriter, byte-buffer ownership, flow control, parsing, and completion. Link to article: https://www.devleader.ca/2026/09/11/pipeline-pattern-vs-systemiopipelines-in-net
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Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second. Link to article: https://openai.com/index/scaling-storage-one-billion-users-part-one
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Amazon SageMaker Inference now offers prefix-aware routing, a routing strategy that sends requests sharing the same prompt prefix to the same instance so the KV cache stays warm. In benchmarks on Llama 3.1 70B, it reduced P50 time-to-first-token by up to 77% and raised KV cache hit rates from about 25% to over 80%. …
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Amazon SageMaker HyperPod now supports model caching for inference, which pre-loads model weights and container images onto cluster nodes so pods read from local NVMe storage instead of downloading over the network. Learn how model caching cuts cold starts from tens of minutes to seconds, how it works, and how to …
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Proposal P0533R9 made numerous math functions in the standard library compile-time evaluable in C++23. Implementing the feature required a good bit of time and effort, but MSVC is preparing its experimental implementation for the 14.52 build tools (compiler vers Link to article: …
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TwelveLabs Marengo Embed 3.0 is now generally available as an embedding model in Amazon Bedrock Knowledge Bases, bringing fully managed natural language search to video, image, and audio content. This walkthrough shows how to build a knowledge base powered by Marengo 3.0 and run semantic queries against your media. …
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Your teams get an AI assistant that handles real work while your data stays in your environment and your conversations stay private Today, the Amazon Quick desktop application is generally available on macOS and Windows. We’re also adding a new activity feed to the mobile experience on iOS and Android that consolidates …
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Azure AI Speech continues to deliver regular improvements to LLM Speech throughout the year, helping developers build more accurate and capable voice experiences. We’re announcing LLM Speech 2607, our latest model update, which brings improvements in multilingual recognition and mixed-language audio inputs, along with …
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Sometimes an API contract says that a value can have more than one JSON type. Kubernetes has a practical example: maxUnavailable can be an absolute number, such as 2, or a percentage, such as "25%". Imag Link to article: https://devblogs.microsoft.com/dotnet/unions-and-closed-hierarchies-in-aspnetcore
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Learn how to build an end-to-end RFI questionnaire workflow with Amazon Quick Automate. Read a multi-tab RFI workbook from Amazon S3, use natural-language prompts to extract and structure the questionnaire data, refine the workflow through conversation, and write clean CSV output back to Amazon S3 — cutting development …
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A configurable, model-agnostic detector that turns any large language model on Amazon Bedrock into a PII detector. Because the entities to detect live in a prompt rather than in code, one detector adapts to new entity types without retraining, and it outperforms an off-the-shelf tool across five public corpora and nine …
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César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections. Link to article: https://openai.com/index/using-codex-chatgpt-to-search-for-new-antimicrobials
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Multi-turn agents fail in ways single-turn evaluation misses: one early mistake corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality, applied to its first dimension, correctness, to pinpoint the turn that caused a failure and separate …
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AvioBook, a Thales Group Company, prototyped Connected Analytics on Amazon Bedrock AgentCore to turn AvioBook Connect's operational data into plain-language, evidence-based answers for airline managers and dispatchers, helping them find and act on the causes of flight turnaround delays. Link to article: …
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Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language. Link to article: https://openai.com/index/put-data-to-work
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Learn how EF Core specifications can shape DTO projections, deliberate includes, tracking behavior, and single or split queries without over-fetching. Link to article: https://www.devleader.ca/2026/09/10/ef-core-specifications-for-includes-projection-and-tracking
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Register for the Meetup On September 15, the Zephyr community is coming together for an in-person meetup at the JetBrains office in Amsterdam. The Zephyr Project is an open-source collaboration project hosted by the Linux Foundation. Its community brings together developers, users, silicon vendors, device …
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